The ground moves without notice. No changelog, ever.
of German-language citation share changed hands within 48 hours of ChatGPT's May 2026 model swap. Indeed lost 47% of its citations, Expedia 60%.
SISTRIX, June 2026
of Google searches triggered an AI Overview, twelve months apart. The surface your buyers see is being redrawn while budgets sit still.
Search Engine Journal, Mar 2025 to Mar 2026
of clicks vanish from the top organic result when that AI Overview appears. Rankings survive these shifts. Traffic does not.
Ahrefs, 300k keywords, Feb 2026
Shifts like these are discovered only by continuous, repeated-run measurement across every engine, including Google AI Overviews and AI Mode. That is a sampling infrastructure problem, not a headcount problem, and it is the part we run for you.
Three reasons this holds up under procurement review.
A published, per-engine methodology
Every number traces to a public protocol.
- 7+ runs per prompt, per engine, per day
- 95% confidence interval on every trend
- No blended score: engines share ~12% of sources
Most vendors will not show you the math. Ours is a page anyone can read.
Read the full protocol →Execution where the citations actually live
Only 2.9% of AI citations point to a brand's own site (149,912 citations, 5 engines).
- Press placements on vertical publications
- Reddit answers drafted from the threads engines already cite
- Your own 2.9%: evidence and rendering fixes shipped as pull requests
Tools that only write to your CMS work the smallest lever. We work the other 97%.
See what an execution sprint ships →Data handling that survives security review
Audits run on public information only. We never need access to your customer records.
- No SOC 2 or ISO 27001 claimed. Only what is checkable today
- Full subprocessor list and retention schedule published
- EU-hosted application data, GDPR-native by default
Procurement gets straight answers, not badge walls.
See exactly what we collect →Five components. Combined however your organization actually needs them.
None of this has a fixed price. The audit, Implementation Sprint, and Growth Retainer are scoped on a call; an enterprise engagement is those same mechanisms run across more brands, more markets, and more engines.
Multi-brand, multi-market audits
An audit run in parallel across every brand in your portfolio and every market you compete in, including language surfaces most tools skip. AI engines often translate a non-English query into English internally before answering it, which changes which sources get cited and structurally disadvantages content that only exists in the local language. Almost nobody checks for this.
Quarterly benchmark
A repeat measurement on the same prompt set and the same engines, so movement is a comparison of confidence bands, not a screenshot next to another screenshot. One cadence across every brand and market you run.
Execution sprints
The same Implementation Sprint mechanism, scoped across your brands and markets: evidence-backed content, rendering fixes, off-domain placements, then every query re-run to document the delta.
Second-opinion verification
If you already pay for an AI-visibility monitoring dashboard, we are not asking you to rip it out. We run an independent, methodology-disclosed audit alongside it and tell you plainly where the two agree and where they do not.
Agency and in-house enablement
The same white-label pipeline we run for SEO and web agencies, made available to your internal team: your brand on the report, our sampling and execution behind it.